Automate Data Deployments with CI/CD Pipelines

This course is part of multiple programs.

Instructor: Hurix Digital

What you'll learn

Automated CI/CD pipelines are essential for reliable data system operations, eliminating human error and ensuring consistent deployments.
Proper artifact versioning and packaging strategies form the foundation of successful data pipeline promotion workflows.
Post-deployment validation and monitoring are critical for maintaining production data system reliability and catching failures early.
Production-grade data systems require systematic automation approaches that can scale with organizational growth and complexity.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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Assessments

3 assignments

Taught in English

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There are 2 modules in this course

Transform your data deployment process from manual to automated with enterprise-grade CI/CD pipelines. In today's fast-paced data environment, manual deployments are error-prone, time-consuming, and simply unsustainable at scale.

This Short Course was created to help data management and engineering professionals accomplish seamless, reliable data pipeline deployments through automation. By completing this course, you'll be able to configure GitHub Actions workflows that automatically run unit tests, build Docker images, push to registries, and trigger production deployments - skills you can implement immediately in your next project. You'll master the essential automation techniques that separate junior practitioners from seasoned professionals who build production-grade data systems. By the end of this course, you will be able to: Apply CI/CD pipelines to promote data pipeline artifacts between environments safely and reliably This course is unique because it focuses specifically on data pipeline deployment automation, bridging the gap between traditional software CI/CD practices and the unique requirements of data engineering workflows. To be successful in this project, you should have a background in basic data pipeline concepts, familiarity with Git version control, and understanding of Docker fundamentals.

Learners will master the foundational concepts and practical applications of CI/CD pipelines for data deployment automation.

What's included

3 videos1 reading1 assignment

Learners will implement comprehensive automated deployment workflows that safely promote data pipeline components from staging to production with proper validation and monitoring.